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All Journal Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) Jurnal Fitopatologi Indonesia JIK Jurnal Ilmu Komputer Jurnal Ilmiah Universitas Batanghari Jambi Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control IKRA-ITH Informatika : Jurnal Komputer dan Informatika Eduscience : Jurnal Ilmu Pendidikan Jurnal Pengabdian Masyarakat AbdiMas Astonjadro AL-TANZIM : JURNAL MANAJEMEN PENDIDIKAN ISLAM Simtek : Jurnal Sistem Informasi dan Teknik Komputer CCIT (Creative Communication and Innovative Technology) Journal Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Jurnal Tekinkom (Teknik Informasi dan Komputer) International Journal Of Science, Technology & Management (IJSTM) Fokus Elektroda: Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) IAIC Transactions on Sustainable Digital Innovation (ITSDI) Devotion: Journal of Research and Community Service Jurnal Minfo Polgan (JMP) Jurnal Locus Penelitian dan Pengabdian IKA BINA EN PABOLO : PENGABDIAN KEPADA MASYARAKAT Jurnal Indonesia Sosial Teknologi Jurnal Indonesia Sosial Sains Eduvest - Journal of Universal Studies Innovative: Journal Of Social Science Research Jurnal penelitian jalan dan Jembatan Asian Journal of Social and Humanities Jurnal Ilmu Ekonomi, Pendidikan dan Teknik (IDENTIK) Jurnal Pengabdian kepada MASyarakat (J-PMAS) Innovative Research in Civil and Environmental Engineering (IRCEE) Global Insights in Management and Economic Research
BUDI TJAHJONO
Institut Pertanian Bogor
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Analysis of Time Series Water Level Data Prediction Using Deep Learning Method at the Water Gate of DKI Jakarta Water Resources Office Supriyade, Supriyade; Firmansyah, Gerry; Akbar, Habibullah; Tjahjono, Budi
Jurnal Indonesia Sosial Sains Vol. 4 No. 09 (2023): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v4i09.883

Abstract

Indonesia has 2 seasons, namely the dry season and the rainy season. During the rainy season, many points in the DKI Jakarta area experience flooding or inundation. The reason why Jakarta often experiences flooding is caused by several factors, including local rain floods, shipment floods and tidal floods. The DKI Jakarta Water Resources Agency currently does not have a system that can predict future water levels by referring to past and present water level data. Through this background, the author tries to conduct research in one of the floodgates in the northern area of DKI Jakarta in predicting water levels using deep learning methods , namely Recurrent Neural Network (RNN) and Long Short Term Memory (LSTM). The purpose of this research is to analyze the best deep learning models and predict water level time series data. From the results of the analysis carried out, the best deep learning model is Long Short Term Memory (LSTM) using several tests such as n-input, split data with a composition of 90.33% train data and 9.67% test data , as well as testing of different parameters including epoch, batch size, learning rate, dropout , so the results obtained are the lowest error values with RMSE (17.65), MAPE (0.29), MAE (3.37) and the time needed in the process (runtime) is 39 minutes
Implementation of Vector-Based Melody Extraction for Plagiarism Detection Using Szymkiewicz-Simpson Coefficient Wardhana, Nindyo Artha Dewantara; Widodo, Agung Mulyo; Firmansyah, Gerry; Tjahjono, Budi
Jurnal Indonesia Sosial Sains Vol. 5 No. 04 (2024): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v5i04.1084

Abstract

Plagiarism is topical within the music industry. It is filled with circumstances such as the potential of massive losses coupled with a “false-positive” court ruling due to the blurred line of plagiarism factor. This research aims to solve the gray line of music plagiarism by exploring the potential of the Szymkiewicz-Simpson coefficient toward musical aspects of music. Melody and Rhythm are chosen as the main features to focus on in the research. MIDI files of music involved in court cases are used as data for the study, with limitations put on what cases can be used for the research. Using a threshold range of 0.1 to 0.25, detection accuracies for melodic plagiarism range from 45% to 60%, while rhythm plagiarism ranges from 60 to 65%. This shows that the algorithm of plagiarism detection has a tendency to detect non-plagiarism cases and is more effective towards rhythm plagiarism detection rather than melodic plagiarism detection against existing plagiarism cases.
Rancang Bangun Aplikasi Edukasi Reproduksi Manusia Pada Pelajar SMPN 187 Jakarta Berbasis Android Djunaedi, Bagas; Malabay; Yulhendri; Tjahjono, Budi
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 9 No. 1 (2025): IKRAITH-INFORMATIKA Vol 9 No 1 Maret 2025
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37817/ikraith-informatika.v9i1.4371

Abstract

The implementation of education at SMPN 187 Jakarta is often limited to the use of PPT and RPP,causing the material to become monotonous and less interesting for students. Reproductioneducation is also often not delivered comprehensively, resulting in less than optimal studentunderstanding. To overcome this, an Android-based application was developed which aims toincrease students' understanding of reproductive health. This application provides educationalmaterial covering secondary and primary aspects as well as a test feature to measure studentunderstanding, making learning more effective and interactive. This application uses Flutter as amulti-platformframework andDart as an open source programming languagewithOOPconceptsthat are easy to understand. The application backend is managed with Laravel, functioning asBackendAPImanagement of themobile application.The prototypemethod is used in development,starting from collecting user needs to creating a design/prototype. The results of this research areas an educational application and learning support media for students at SMPN 187 Jakarta bymaking learning media flexible and efficient, with features for characters that help improvestudents' and female students' understanding of educational reproduction.
The Influence of Transformational Leadership and Organizational Culture on Work Productivity Rohidin, Rohidin; Saepudin, Saepudin; Juliana, Juliana; Tjahjono, Budi; Suryahim, Iim
JURNAL AL-TANZIM Vol 8, No 1 (2024)
Publisher : Nurul Jadid University, Probolinggo, East Java, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/al-tanzim.v8i1.6534

Abstract

This research aims to determine and analyze the influence of transformational leadership and organizational culture on the productivity of lecturers at the Laa Roiba Bogor National Islamic Institute. This research uses quantitative research methods with survey techniques to answer the hypothesis tests that have been formulated. Respondents totaled 160 lecturers, and the sampling technique used was random. The transformational leadership, organizational culture, and work productivity questionnaires were validated using the product moment correlation formula; Reliability is measured using the Cronbach Alpha formula, and hypothesis testing uses the PLS-SEM analysis application. The research results show that transformational leadership and organizational culture positively and significantly impact lecturers' work productivity. Transformational leadership also influences organizational culture directly. Therefore, to increase lecturers' work productivity, it is necessary to improve the effectiveness of transformational leadership and organizational culture. The implications of this research highlight the importance of developing transformational leadership and organizational culture as a strategy to increase the work productivity of lecturers at the Laa Roiba Bogor National Islamic Institute.
Pemanfaatan Cendawan Mikoriza Arbuskula dan Bakteri Azospirillum sp. untuk Meningkatkan Efisiensi Pemupukan pada Turfgrass Guntoro, Dwi; Chozin, M. A.; Tjahjono, Budi; Mansur, Irdika
Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) Vol. 34 No. 1 (2006): Jurnal Agronomi Indonesia
Publisher : Indonesia Society of Agronomy (PERAGI) and Department of Agronomy and Horticulture, Faculty of Agriculture, IPB University, Bogor, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (81.105 KB) | DOI: 10.24831/jai.v34i1.1277

Abstract

Introduction turfgrass varieties require fertilization with high dosage, but it can contaminate environment.  The increasing  efficiency of fertilizer absorbtion was expected to reduce fertilizer requirement.  The experiment was conducted to study the effect of arbuscular mycorrhizae and Azospirillum sp. on nutrient uptake, fertilization efficiency, growth and visual quality of turfgrass.  The experiment consisted of two factors, i.e. the dosages of fertilizer and inoculant types.  The dosages of fertilizer were the relatif dosage from recommended dosage (RD) i.e 100%RD, 75%RD, 50%RD, and 25%RD.  The recommended dosage was 0.5 kg N + 1.5 kg P2O5 + 0.5 kg K2O per 100 m2/month by compound fertilizer (15-15-15).  The treatment of 100%RD without inoculant was used as control.  The inoculant types were no inoculant, arbuscular mycorrhizal fungi (AMF), Azospirillum sp., and AMF+Azospirillum sp.  Factorial experiment was arranged in Randomized Block Design with three replications.  The results showed that interaction between inoculant type and dosage of fertilizer affected nutrient uptake, fertilizer efficiency, growth, and visual quality.  AMF inoculation and 25%RD increased shoot N uptake and N fertilizer efficiency, compared with control.  Azospirillum sp. inoculation at 75% RD increased shoot N concentration, but did not affect on shoot N uptake and N fertilizer efficiency compared with control.  Inoculant did not affect shoot P concentration, shoot P uptake, and P fertilizer efficiency.  Azospirillum and AMF+Azospirillum inoculation increased shoot K concentration.  AMF+Azospirillum inoculation and 100%RD increased shoot N concentration and shoot N uptake, compared with control.    Key words : Arbuscular mycorrhizal fungi, Azospirillum, fertilizer efficiency, nutrient uptake, turfgrass.
PENGUJIAN KET AHANAN KOLEKSI GENOTIPE KEDELAI TERHADAP PENYAKIT BISUL BAKTERI Anggraini, Dyah Kusuma; Tjahjono, Budi; Suwanto, Antonius; Aswidinnoor, Hajrial
Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) Vol. 23 No. 3 (1995): Buletin Agronomi
Publisher : Indonesia Society of Agronomy (PERAGI) and Department of Agronomy and Horticulture, Faculty of Agriculture, IPB University, Bogor, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (796.084 KB) | DOI: 10.24831/jai.v23i3.1634

Abstract

The objective of the research was to evaluate the resistance of soybean genotype in the germplasm collection to pustule disease. Seventy five genotypes were evaluated using spray inoculation method. Inoculation was done on the third week after planting. The 75 genotypes evaluated consists of 29 local varieties, 8 national varieties, 23 introduction, and 15 experimental lines. Results of the experiment showed that among the 75 genotypes tested, one local variety, Si Pinang was found resistant to the pustule disease (Xanthomonas campestris pv. glycines). The resistant local variety was collected from Langkat, North Sumatra.
Co-Authors *, Hairuduin A.A. Ketut Agung Cahyawan W Adhy, Dewanto Rosian Adigunawan, Adigunawan Aep Saepudin Ahmad Fuad Akbar , Habibullah Akbar, Habibullah Alami, Tegar Alexander Alexander, Alexander Andriana, Dian Antonius Suwanto Arfian, Muhamad Hadi Arfian, Muhammad Hadi Arniansyah, Arniansyah Aulia, Faujiatul Azzam Robbani, Muhammad Bambang Irawan Basyarewan, Humairoh Binastya Anggara Sekti Budi Aribowo Dafa Rizqi, Herin Dermawan Zebua Dewi, Riris Septiana Sita Djunaedi, Bagas Dwi Guntoro Dyah Kusuma Anggraini Edi Kartawijaya Fatonah, Nenden Siti Febrianto, Haris Fernandes Gamaliel, Adhi Firdaus, M. Dzulfiqar Firmansyah, Gerry Ghazalba, Annazma Gilang, Destian Gunawan, Sholeh Hadjarati, Panji Ramadhan Yudha Putra HAJRIAL ASWIDINNOOR Haryoto, Iin Sahuri Hermawan, Deky Hidayat, Muhamad Rifqi Huda, Nur Huda Hung Fei Ipung Sutejo, Bayu Sulistiyanto Irdika Mansur Irsyadul Anam, Reza ISKANDAR ZULKARNAEN SIREGAR Islamy, Muhammad Rafli Jabar, Ajib Abdul Jefry Sunupurwa Asri Judianto Leihitu, Donny Dwy Juliana Juliana Kartini Kartini Khairurrahman, Rifqi Kikin H Mutaqin Klaski Putri, Krisanti Kundang Karsono Kundang Karsono Juman Kusuma, Mahesa Adi Kusumah, Yayi Munara Leihitu, Donny Dwy Judianto Lisdiana Lisdiana M A Chozin Maemonah, Maemonah Malabay Malabay Malabay Martin Saputra, Martin Meiharsiwi, Ismiyati Mita, Vira Muhtadi, Yudi Muksin, Andreanata Pradifta Mulyo Widodo, Agung Munawar Munawar Mutedi, Ahmad Nabila, Efa Ayu Nainggolan, Restamauli br Nasihin, Anwar Natadirja, Trenggana Ningsih, Susilowati Nixon Erzed Nizirwan Anwar Nugraha, William Nur Widiyasono, Nur Nurjannah Nurjannah Pamungkas, Ryan Tri Prabowo, Ary PURNAMA HIDAYAT Qiqi Asmara, Abdullah Qur'ani, Isti Rahaman, Mosiur Rasyid, Ainur Ridwan, Ridwan Riya Widayanti Rizk, Muhamad Rohidin Rohidin, Rohidin RR. Ella Evrita Hestiandari Rudi Hermawan Rudy Setiawan RUSMILAH SUSENO Sabaruddin, Satria Saepudin Saepudin Sakron, Narul SARASWATI, RIA Septian, Ferby Septianto, Dian Fajar Setiawan, Sony Siregar, Sarah Veronica Siti Fatomah, Nenden Suardana, Made Aka Sugeng Santoso Suhendar Suhendar, Suhendar Sulistyo, Catur Agus Supriyade, Supriyade Suryahim, Iim Tarigan, Masmur Tengku Riza Zarzani N Teras, Deni Ummanah Ummanah, Ummanah Wahyu Sabiqudin, Muhammad Wardhana, Nindyo Artha Dewantara Widiasti, Adilah Widodo, Agung Mulyo Wijaya, Jacob S Wisnu Ananta Kusuma Yudha Putra Hadjarati, Panji Ramadhan Yulhendri Yulhendri Yuliati -